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import streamlit as st
from PIL import Image
import torch
from diffusers import StableDiffusionPipeline
import cv2 as cv
st.title("Txt2Img")
pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", revision="fp16")
pipe.to("cpu")
prom = st.text_area("Prompt",'')
if len(prom)>5:
image = pipe(prom).images[0]
st.image(image)
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